Cross Products in Spherical Coordinates: Is A x B True?

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SUMMARY

The cross product of vectors in spherical coordinates, represented as A x B, is not directly computable without conversion to Cartesian coordinates. The recommended method is to first convert the vectors from spherical coordinates (r, θ, φ) to Cartesian coordinates (x, y, z), perform the cross product, and then convert the result back to spherical coordinates. This approach simplifies the calculation due to the linear nature of Cartesian unit vectors compared to the spherical unit vectors, which include both linear and non-linear components. Understanding the orthogonal relationships among spherical unit vectors is crucial for mastering this topic.

PREREQUISITES
  • Understanding of spherical coordinates (r, θ, φ)
  • Familiarity with Cartesian coordinates (x, y, z)
  • Knowledge of vector operations, specifically the cross product
  • Basic understanding of orthogonal systems in vector mathematics
NEXT STEPS
  • Learn how to convert between spherical and Cartesian coordinates
  • Study the properties of the cross product in different coordinate systems
  • Explore the use of unit vectors in spherical coordinates
  • Investigate the distributive property of the cross product over vector addition
USEFUL FOR

Students and professionals in physics, engineering, and mathematics who are working with vector calculus, particularly those dealing with spherical coordinate systems and vector operations.

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Is A x B = | i j k | also true for Spherical Coordinates?
| r1 theta1 phi1 |
| r2 theta2 phi2 |

Or I have to convert them to Cartesian Coordinates and do the cross product and then convert them back?
 
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The short answer: just convert to Cartesian, perform the cross product, then convert back. That's probably the easiest way to go in most cases.

The reason the rules change are because in Cartesian coordinates, the unit vectors are all linear and perpendicular to each other,

<br /> A = a_1 \hat{e}_x + a_2 \hat{e}_y + a_3 \hat{e}_z<br />

But in spherical coordinates, just one of the unit vectors is linear (\hat{e}_r) and the other two are spherical (\hat{e}_{\theta} and \hat{e}_{\phi}). Of course the cross product is independent of any coordinate system you choose, but it's considerably more difficult to do it in (r,\theta,\phi). See http://en.wikipedia.org/wiki/Cross_product#Computing_the_cross_product for more information about the basis vectors.

There is also a short, informative discussion here:
http://math.stackexchange.com/quest...lculating-dot-and-cross-products-in-spherical
 
Last edited:
Spherical polar coordinates (r, \theta, \phi) are an orthogonal right-handed system: <br /> \mathbf{e}_r \times \mathbf{e}_\theta = \mathbf{e}_\phi \\<br /> \mathbf{e}_\theta \times \mathbf{e}_\phi = \mathbf{e}_r \\<br /> \mathbf{e}_\phi \times \mathbf{e}_r = \mathbf{e}_\theta, as are cartesian coordinates (x,y,z):<br /> \mathbf{i} \times \mathbf{j} = \mathbf{k} \\<br /> \mathbf{j} \times \mathbf{k} = \mathbf{i} \\<br /> \mathbf{k} \times \mathbf{i} = \mathbf{j}<br /> Learning these results and using distributivity of the cross product over vector addition results in better conceptual understanding than using determinants.
 
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